code: def __init__(self, use_flash=False):
      super().__init__()
      self.use_flash = use_flash
      assert not (
          use_flash
          and version.parse(torch.__version__) < version.parse("2.0.0")
      ), "in order to use flash attention, you must be using pytorch 2.0 or above"
  
      # determine efficient attention configs for cuda and cpu
  
      self.cpu_config = Config(True, True, True)
      self.cuda_config = None
  
      if not torch.cuda.is_available() or not use_flash:
          return
  
      device_properties = torch.cuda.get_device_properties(
          torch.device("cuda")
      )
  
      if device_properties.major == 8 and device_properties.minor == 0:
          self.cuda_config = Config(True, False, False)
      else:
          self.cuda_config = Config(False, True, True)
  
imports: from collections import namedtuple
  from packaging import version
  import torch
  import torch.nn.functional
  from torch import nn
  from einops import rearrange
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 1 to create a new Attend object from inherited base classes: nn with example: obj = Attend(use_flash)